3 papers
cs.NI2026
From Traditional Automation to Embodied Wireless Intelligence: Vision-Language-Action Empowered Physics-Aware Communication Networks
Genze Jiang, Kezhi Wang, Xiaomin Chen +1
Wireless network automation has progressed from rule-based self-organising networks (SON) to data-driven optimisation, yet existing systems remain fundamentally disembodied. They a…
cs.AI2026
BioLLMAgent: A Hybrid Framework with Enhanced Structural Interpretability for Simulating Human Decision-Making in Computational Psychiatry
Zuo Fei, Kezhi Wang, Xiaomin Chen +1
Computational psychiatry faces a fundamental trade-off: traditional reinforcement learning (RL) models offer interpretability but lack behavioral realism, while large language mode…
cs.AI2026
Agentic AI Empowered Intent-Based Networking for 6G
Genze Jiang, Kezhi Wang, Xiaomin Chen +1
The transition towards sixth-generation (6G) wireless networks necessitates autonomous orchestration mechanisms capable of translating high-level operational intents into executabl…